Online behavior using predictive analytics

A system comprising:

• a network;
• a processor;
• and
• a computer-readable storage medium communicatively coupled to the processor and storing program instructions which, when executed by the processor, cause the processor to perform a method comprising:
• monitoring communications and user action data of a plurality of users participating in a social networking environment;
• analyzing the communications and the user action data to determine a user score related to a set of behavioral characteristics for each of the plurality of users;
• comparing the user score for each of the plurality of users to a set of corrective action thresholds;
• in response to a first user score associated with a first user meeting one of the set of corrective action thresholds, implementing a first corrective action related to improving the behavior of the first user;
• analyzing subsequent communications and subsequent user action data of the first user in response to implementing the first corrective action;
• determining, using machine learning, an effectiveness of the first corrective action by correlating a change in the first user score related to improving behavior of the first user;
• and
• implementing a second corrective action based on the change in the first user score.

A computer program product comprising a computer-readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising:

• monitoring communications and user action data of a plurality of users participating in a social networking environment;
• analyzing the communications and the user action data to determine a user score related to a set of behavioral characteristics for each of the plurality of users;
• comparing the user score for each of the plurality of users to a set of corrective action thresholds;
• in response to a first user score associated with a first user meeting one of the set of corrective action thresholds, implementing a first corrective action related to improving behavior of the first user;
• analyzing subsequent communications and subsequent user action data of the first user in response to implementing the first corrective action;
• determining, using machine learning, an effectiveness of the first corrective action by correlating a change in the first user score related to improving behavior of the first user;
• and
• implementing a second corrective action based on the change in the first user score.